The structures and functions of correlations in neural population codes

S Panzeri, M Moroni, H Safaai… - Nature Reviews …, 2022 - nature.com
The collective activity of a population of neurons, beyond the properties of individual cells, is
crucial for many brain functions. A fundamental question is how activity correlations between …

Two-photon calcium imaging of neuronal activity

C Grienberger, A Giovannucci, W Zeiger… - Nature Reviews …, 2022 - nature.com
In vivo two-photon calcium imaging (2PCI) is a technique used for recording neuronal
activity in the intact brain. It is based on the principle that, when neurons fire action …

Distributed coding of choice, action and engagement across the mouse brain

NA Steinmetz, P Zatka-Haas, M Carandini, KD Harris - Nature, 2019 - nature.com
Vision, choice, action and behavioural engagement arise from neuronal activity that may be
distributed across brain regions. Here we delineate the spatial distribution of neurons …

Representational drift in primary olfactory cortex

CE Schoonover, SN Ohashi, R Axel, AJP Fink - Nature, 2021 - nature.com
Perceptual constancy requires the brain to maintain a stable representation of sensory input.
In the olfactory system, activity in primary olfactory cortex (piriform cortex) is thought to …

Predictive processing: a canonical cortical computation

GB Keller, TD Mrsic-Flogel - Neuron, 2018 - cell.com
This perspective describes predictive processing as a computational framework for
understanding cortical function in the context of emerging evidence, with a focus on sensory …

Cortical layer–specific critical dynamics triggering perception

JH Marshel, YS Kim, TA Machado, S Quirin, B Benson… - Science, 2019 - science.org
INTRODUCTION Perceptual experiences in mammals may arise from patterns of neural
circuit activity in cerebral cortex. For example, primary visual cortex (V1) is causally capable …

Random synaptic feedback weights support error backpropagation for deep learning

TP Lillicrap, D Cownden, DB Tweed… - Nature …, 2016 - nature.com
The brain processes information through multiple layers of neurons. This deep architecture
is representationally powerful, but complicates learning because it is difficult to identify the …

Dendritic cortical microcircuits approximate the backpropagation algorithm

J Sacramento, R Ponte Costa… - Advances in neural …, 2018 - proceedings.neurips.cc
Deep learning has seen remarkable developments over the last years, many of them
inspired by neuroscience. However, the main learning mechanism behind these advances …

Suite2p: beyond 10,000 neurons with standard two-photon microscopy

M Pachitariu, C Stringer, S Schröder, M Dipoppa… - BioRxiv, 2016 - biorxiv.org
The combination of two-photon microscopy recordings and powerful calcium-dependent
fluorescent sensors enables simultaneous recording of unprecedentedly large populations …

Representational drift in the mouse visual cortex

D Deitch, A Rubin, Y Ziv - Current biology, 2021 - cell.com
Recent studies have shown that neuronal representations gradually change over time
despite no changes in the stimulus, environment, or behavior. However, such …